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Abstract
Positron Emission Particle Tracking (PEPT) and numerical modelling each hold a distinct place in industrial research and development. Despite the ability of PEPT to provide detailed, accurate measurements, its high cost and limited availability often pose constraints. Numerical modelling, on the other hand, offers efficiency and cost-effectiveness, but relies heavily on rigorous validation for trustworthy results. This paper explores the symbiotic relationship between these two methods, focusing on a range of simulation models validated using PEPT. We highlight the shortcomings of earlier validation techniques and underscore the unique advantages of PEPT, from its precise tracking of complex systems to the development of novel correction methods, that enhance its robustness. We do, however, discuss some shortcomings of PEPT and areas of future research to enhance the technique. A series of diverse case studies attest to the accuracy and versatility of PEPT as a validation tool, demonstrating its ability to rigorously validate research outcomes. This review paper ultimately advocates for the expanded use of PEPT in industrial practice and academic research, envisaging it as an indispensable tool in the advancement of effective validation techniques.
Original language | English |
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Journal | Particuology |
Early online date | 6 Jul 2024 |
DOIs | |
Publication status | E-pub ahead of print - 6 Jul 2024 |
Bibliographical note
AcknowledgementsThis work was supported by the UK Engineering and Physical Sciences Research Council (EPSRC), specifically from the Centre for Doctoral Training in Topological Design (EP/S02297X/1), Centre for Doctoral Training in Formulation Engineering EngD (EP/S023070/1) sponsored by Johnson Matthey, Unilever, the International Fine Particle Research Institute and Mondelez. The work was additionally supported by the French Institute of Petroleum, and the New Investigator Award (EP/T034327/1). Intensive computations required for this paper were performed using the University of Birmingham's BEAR Cloud service, which provides flexible resource for intensive computational work to the University's research community. See http://www.birmingham.ac.uk/bear for more details.
Keywords
- PEPT
- Validation
- Simulations
- Tracking
Projects
- 1 Finished